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A quasichemical approach for protein-duster free energies in dilute solution

机译:稀溶液中蛋白质粉尘自由能的拟化学方法

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Reversible formation of protein oligomers or small clusters is a key step in processes such as protein polymerization,fibril formation,and protein phase separation from dilute solution.A straightforward,statistical mechanical approach to accurately calculate cluster free energies in solution is presented using a cell-based,quasichemical (QC) approximation for the partition function of proteins in an implicit solvent.The inputs to the model are the protein potential of mean force (PMF) and the corresponding subcell degeneracies up to relatively low particle densities.The approach is tested using simple two and three dimensional lattice models in which proteins interact with either isotropic or anisotropic nearest-neighbor attractions.Comparison with direct Monte Carlo simulation shows that cluster probabilities and free energies of oligomer formation (DELTA G_i~0) are quantitatively predicted by the QC approach for protein volume fractions ~10~(-2) (weight/volume concentration -10 g 1~(-1)) and below.For small clusters,DELTA G_i~0 depends weakly on the strength of short-ranged attractive interactions for most experimentally relevant values of the normalized osmotic second virial coefficient (b*2).For larger clusters {i2),there is a small but non-negligible b*2 dependence.The results suggest that nonspecific,hydrophobic attractions may not significantly stabilize prenuclei in processes such as non-native aggregation.Biased Monte Carlo methods are shown to accurately provide subcell degeneracies that are intractable to obtain analytically or by direct enumeration,and so offer a means to generalize the approach to mixtures and proteins with more complex PMFs.
机译:蛋白质低聚物或小簇的可逆形成是诸如蛋白质聚合,原纤维形成以及从稀溶液中分离蛋白质相等过程中的关键步骤。本文提出了一种直接,统计的机械方法来精确计算溶液中的簇自由能。基于该模型的隐式溶剂中蛋白质的分配函数的准化学(QC)近似。模型的输入是平均力(PMF)的蛋白质势和相应的子细胞简并性,直至相对较低的颗粒密度。该方法使用简单的二维和三维晶格模型,其中蛋白质与各向同性或各向异性的邻近邻域相互作用。与直接蒙特卡罗模拟的比较表明,通过QC方法可定量预测聚簇概率和低聚物形成的自由能(DELTA G_i〜0)用于蛋白质体积分数〜10〜(-2)(重量/体积浓度-10 g 1〜( -1))及以下。对于小簇,对于归一化渗透第二病毒系数(b * 2)的大多数实验相关值,ΔG_i〜0弱依赖于短距离吸引相互作用的强度。对于大簇{i> > 2),b * 2依赖性很小但不可忽略。结果表明,非特异性,疏水性吸引力可能无法显着稳定非天然聚集等过程中的前核。偏置的蒙特卡洛方法已证明可准确提供亚细胞简并性这些化合物很难通过分析或直接枚举获得,因此提供了一种方法来概括具有更复杂PMF的混合物和蛋白质的方法。

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